This course provides a hands on approach to machine learning and statistical pattern recognition. The course describes fundamental algorithms for linear regression, classification, model selection, support vector machines, neural networks, dimensionality reduction and clustering. The course includes computer exercises on real and synthetic data using current software tools. A number of applications are demonstrated on audio and image processing, text classification, and more. Students should have competency in computer programming. | Prerequisites: ECE-UY 2233, MA-UY 2233, MA-UY 3012, MA-UY 2224 or MA-UY 2222, MA-UY 3514

Elect. Engineering – ECE UGRD (Undergraduate)
3 credits – 14 Weeks

Sections (Fall 2024)

ECE-UY 4563-000 (11607)
09/03/2024 – 12/12/2024 Tue,Thu
2:00 PM – 3:00 PM (Early afternoon)
at Brooklyn Campus
Instructed by